- Dec 20, 2023
Chinese Webinar: 薛定谔中文讲座:DLK在计算机辅助药物设计中的案例研究 ,网络讲座录制 计算机驱动用于治疗神经退行性疾病的高效、高选择性和穿透脑血屏障的DLK抑制剂的发现
双亮氨酸拉链激酶(DLK)(又名MAP3K12)是混合系谱激酶(MLK)家族的成员,它包含一个N-末端激酶结构域,后面跟着两个亮氨酸拉链结构域以及一个富含甘氨酸/丝氨酸/脯氨酸的C-末端结构域。它主要在神经元细胞中表达,特别是在神经元的突触末端和轴突中
- Dec 7, 2023
In silico enabled discovery of KAI-11101, a potent, selective, and brain-penetrant DLK inhibitor for the treatment of neurodegenerative diseases
In this webinar, we detail the program led by Schrödinger Therapeutics Group to discover a novel, potent, selective, and brain-penetrant DLK inhibitor (KAI-11101).
- Sep 14, 2023
Beyond the Lab: Unleashing the Potential of In Silico Modeling in Drug Product Formulation
In this webinar, we explore Schrödinger’s leading molecular modeling and machine learning platform.
- May 9, 2023
Into the Clinic: Developing potent and selective kinase inhibitors using at-scale FEP and protein FEP: a Wee1 case study
In this webinar, we discuss the discovery of novel Wee1 kinase inhibitors using a strategy that couples ligand free energy calculations with protein free energy calculations to simultaneously find promising chemical matter and de-risk for off-target liabilities.
- May 26, 2022
Resolving Absolute Stereochemistry in Early Drug Discovery with VCD
Determining the absolute configuration of small molecules is important early in the drug discovery process.
- Tutorial
Computational Ellipsometry
Learn how to compute the refractive index and extinction coefficient of systems of organic optoelectronics.
- Publication
- Dec 13, 2024
In silico enabled discovery of KAI-11101, a preclinical DLK inhibitor for the treatment of neurodegenerative disease and neuronal injury
Lagiakos H.R., et al. J. Med. Chem., 2024- Publication
- Dec 10, 2024
Calculating apparent pKa values of ionizable lipids in lipid nanoparticles
Hamilton, et al. Molecular Pharmaceutics, 2024Case Studies
Documentation
- Documentation
WaterMap
Efficiently converged MD simulations are run with explicit water molecules, and resultant trajectories are analyzed to cluster hydration sites.
- Documentation
SiteMap
Identify binding sites, including allosteric binding sites and protein-protein interfaces, and evaluate their druggability.
- Documentation
Shape Screening
A ligand-based workflow for efficiently screening ultra-large purchasable or synthesizable compound libraries.
Events
- Aug 31st – Sep 4th, 2025
EFMC-ASMC 2025
Schrödinger is excited to be participating in the EFMC-ASMC 2025 conference taking place on August 31st – September 4th in Porto, Portugal.
- Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery
This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.
- Sep 7th-9th, 2025
13th Crystal Forms Convention
Schrödinger is excited to be participating in the 13th Crystal Forms Convention conference taking place on September 7th – 9th in Bologna, Italy.
Learning Paths
- Learning Path
Learning Path: Oligonucleotide Modeling
A structured overview of tools and workflows for nucleic acids in drug discovery.
- Learning Path
Learning Path: Computational Structure Prediction
A structured overview of tools and workflows for predicting biomacromolecular structures in whole or in part.
- Learning Path
Learning Path: Virtual Screening
A structured overview of how to construct a virtual screening pipeline.
Training Videos
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
- Video
Introducing Ligand Designer
An overview of the LigandDesigner workflow, Editing in 2D and 3D, using display options and overlays, and accessing the Admin Panel.
Publications
- Publication
- Jul 8, 2025
Enabling in-silico Hit Discovery Workflows Targeting RNA with Small Molecules
Chopra, et al. J Chem Inf Model, 2025, 1, 40626899- Publication
- Jun 5, 2025
STX-721, a Covalent EGFR/HER2 Exon 20 Inhibitor, Utilizes Exon 20–Mutant Dynamic Protein States and Achieves Unique Mutant Selectivity Across Human Cancer Models
Pagliarini, et al. Translational Cancer Mechanisms and Therapy, 2025- Publication
- Apr 17, 2025
Active Learning FEP: Impact on Performance of AL Protocol and Chemical Diversity
Lonsdale, et al. Journal of Chemical Theory and Computation, 2025Quick Reference Sheets
- Quick Reference Sheet
GlideMap
A one-page guide to using the GlideMap GUI for ligand placement guided by experimental density.
- Quick Reference Sheet
Synthesis Queue LiveReport
Use Freeform columns to track the status of compounds in a synthesis queue.
- Quick Reference Sheet
Modeling Queue LiveReport
Learn how to use Freeform columns and an Auto-Update Search to create compound progression workflows.
Tutorials
- Tutorial
Structure-Based Virtual Screening using Glide
Prepare receptor grids for docking, dock molecules and examine the docked poses.
- Tutorial
Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking.
- Tutorial
Antibody Visualization and Modeling in BioLuminate
Visualize, build, and evaluate antibody models, analyze an antibody for various characteristics, dock an antigen to an antibody.
Webinars
- Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery
This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.
- Sep 23, 2025
Building stable and accurate FEP models for agonist affinity for GPCRs
In this webinar, Ferran Planas will discuss how the team at Lundbeck routinely uses FEP to predict binding affinities for GPCR agonists.
- Sep 24, 2025
Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第19回
Computational strategies for discovering and optimizing RNA- and DNA-targeting molecules
White Papers
- Oct 29, 2024
20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS
Glide has long set the gold standard for commercial molecular docking software due to its robust performance in both binding mode prediction and empirical scoring tasks, ease of use, and tight integration with Schrödinger’s Maestro interface and molecular discovery workflows.
Latest insights from Extrapolations blog
Training & Resources
Online certification courses
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Free learning resources
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.